Sr. Manager, Technical Architect – Enterprise AI Solutions

At Canadian Solar, our vision is to make lives better by bringing electricity powered by the sun to millions of people worldwide. As a leading manufacturer of solar panels, inverters, and energy storage solutions, we've been an industry front-runner since our founding in 2001. Our commitment to sustainability is reflected in all parts of our organization as we navigate the complexities of a booming industry.

Throughout Canadian Solar's subsidiaries, e-Storage, Recurrent Energy, MSS and CSI Solar Co., we invest in our employees' growth. Our training programs and promotional opportunities ensure we all can continue to learn. We understand the importance of work-life balance and provide various flexible work options to support our employees' well-being. Join our team to "Make the Difference" by creating a lasting positive impact on the world and the communities where we operate.

Canadian Solar Inc. is seeking a highly experienced and strategic AI leader to drive the design, architecture, and implementation of enterprise AI solutions across global business operations. This role leads the development of scalable AI platforms, enterprise copilots, automation frameworks, and advanced analytics capabilities supporting Sales, Manufacturing, Supply Chain, Engineering, Finance, Cybersecurity, and Corporate Functions.

The ideal candidate combines strong technical depth in AI/ML and enterprise architecture with hands-on experience delivering production-grade AI solutions within large-scale global organizations. This individual will serve as both a technical leader and strategic advisor, helping define the company’s AI roadmap while partnering closely with business executives, IT leadership, and cross-functional teams.

This is a senior-level role based in North America with global responsibilities across Canadian Solar business units. Preference to have someone near an office hub.

Define and lead enterprise AI architecture standards, frameworks, and best practices

Design scalable AI platforms supporting Generative AI, Agentic AI, Machine Learning, and advanced analytics

Establish enterprise governance for AI security, compliance, model lifecycle management, and responsible AI adoption

Partner, collaborate and influence senior leadership to identify high-value AI use cases aligned with business priorities and operational efficiency goals

Lead the end-to-end design and deployment of enterprise AI solutions and intelligent automation initiatives

Architect and implement AI-powered copilots, knowledge assistants, and workflow automation solutions

Integrate AI capabilities into enterprise applications including Microsoft Dynamics 365, SAP S/4HANA, Salesforce, Service Platforms, and custom applications

Design scalable APIs, microservices, and AI orchestration frameworks

Lead implementation of enterprise GenAI solutions leveraging platforms such as OpenAI, Anthropic Claude, Google Gemini, Microsoft Copilot Studio, and Azure AI Services

Design Retrieval-Augmented Generation (RAG) architectures, vector databases, prompt engineering frameworks, and enterprise knowledge management solutions

Build secure enterprise AI integrations with internal data platforms and business systems

Evaluate and optimize LLM performance, cost, governance, and scalability

Collaborate with data engineering teams to establish scalable AI/ML pipelines and data architectures

Design enterprise-grade MLOps and LLMOps capabilities including CI/CD, monitoring, observability, and model governance

Ensure reliability, scalability, security, and operational readiness of AI platforms

Support cloud-native AI deployments across Azure, AWS, and Google Cloud

Serve as technical lead and mentor for AI engineers, developers, and solution architects

Partner with business stakeholders across Manufacturing, Sales, Operations, Finance, and Supply Chain to translate business requirements into AI-enabled solutions

Drive vendor evaluations, proof-of-concepts, and strategic partnerships related to AI technologies

Communicate technical concepts effectively to both technical and executive audiences

Bachelor’s or master’s degree in computer science, Artificial Intelligence, Engineering, Data Science, or related discipline

Advanced degree preferred

8+ years of experience in enterprise software engineering, solution architecture, AI/ML engineering, or related technical leadership roles

3+ years of hands-on experience designing and deploying Generative AI / LLM-based enterprise solutions

Experience leading enterprise-scale AI transformation initiatives in global organizations

Strong experience with cloud-native architectures and enterprise integration platforms

Strong proficiency in Python and modern AI/ML frameworks

Experience with OpenAI, Anthropic Claude, Google Gemini, Microsoft Copilot Studio, LangChain, Semantic Kernel, or equivalent AI ecosystems

Experience with vector databases, RAG architectures, AI orchestration frameworks, and prompt engineering

Experience with TensorFlow, PyTorch, Scikit-learn, or similar frameworks

Strong understanding of enterprise API integration, microservices, and distributed architectures

Experience with Docker, Kubernetes, CI/CD pipelines, and DevOps practices

Familiarity with enterprise security and AI governance requirements

Experience integrating AI solutions with SAP S/4HANA, Microsoft Dynamics 365, Power Platform, or similar enterprise platforms

Experience with data engineering technologies including SQL, Spark, Databricks, or equivalent platforms is preferred

Industry experience in Renewable Energy, Manufacturing, Industrial Technology, Utilities, Energy Storage, Global Supply Chain Operations preferred

Compensation & Benefits: CS Power Systems offers a competitive salary plus fully comprehensive benefits and performance bonus package based on an annual objective achievement. Our generous benefits package includes a 401(k) Retirement Plan, medical/dental/life/disability program, PTO and sick days.

The pay range for this position is $130,000 - $185,000 USD. This range represents annual base salary only, without regard to location, and does not include bonus or other incentives or benefits that may apply. The pay range for this role is subject to change.

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